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Le attività produttive coinvolte nella produzione di cibo, a partire dalle piccole realtà agricole alle grandi aziende agro-food, possono beneficiare tecnologie e i servizi innovativi messe a punto da GECOsistema, per l’osservazione ed analisi dei dati da satellite, gli scenari e le previsioni climatiche, e i modelli matematici sia idrologici che di tipo data-driven (machine learning).

Una delle principali sfide in questo settore riguarda l’adattamento e la mitigazione ai nuovi scenari climatologici e meteorologici sia nel breve che nel lungo periodo.
La variazione della quantità di acqua disponibile in funzione di eventi di siccità e inondazione, la modifica delle condizioni di suolo, la necessità di controllare l’impatto dei fertilizzanti e dei pesticidi sull’ambiente e contemporaneamente soddisfare la crescente domanda globale delle commodities (grano, zucchero, olio di palma, soia, etc) rappresentano insieme una grande sfida per l’intero settore agricolo.

In GECOsistema, utilizziamo i dati satellitari, li combiniamo con le informazioni e le previsioni meteorologiche nel breve e lungo

termine, ed infine sviluppiamo modelli agro-meteorologici in grado di descrivere il bilancio idrico suolo/pianta. I nostri servizi sono in grado di incrementare la resilienza, di supportare la selezione delle migliori pratiche di mitigazione ed adattamento, fornire previsioni sulle rese agricole e le perdite economiche determinate dai cambiamenti climatici.

Supportiamo e sviluppiamo servizi e tecnologie per la Climate-Smart Agriculture (CSA) al fine di orientare i processi agricoli verso la resilienza ai cambiamenti climatici, una migliore sostenibilità ambientale ed infine garantire la qualità e la redittività dei prodotti agricoli.

Sfruttiamo ed elaboriamo gli Open-data disponibili e raccolti sfruttando le nuove tecnologie come l’acquisizione di dati satellitari

(Copernicus C3S, ESA Open Data Portal, Sentinel Data ) gli Open-Data (European Open-Data Portal), I servici e i modelli climatici (ECMWF, CMCC, SWICCA, CLARA project), la possibilità di acquisire dati in real-time mediante Internet of Things e la potenza di calcolo del Cloud Computing,.

GECOsistema  sviluppa algoritmi di intelligenza artificiale per servizi previsionali e di ottimizzazione delle pratiche agronomiche.

An environmental impact assessment (EIA) is an assessment of the possible impacts that a proposed project may have on the environment, consisting of the environmental, social and economic aspects.

The purpose of the assessment is to ensure that decision makers consider the environmental impacts when deciding whether or not to proceed with a project. The International Association for Impact Assessment (IAIA) defines an environmental impact assessment as “the process of identifying, predicting, evaluating and mitigating the biophysical, social, and other relevant effects of development proposals prior to major decisions being taken and commitments made.”[1]

EIAs are unique in that they do not require adherence to a predetermined environmental outcome, but rather they require decision ­makers to account for environmental values in their decisions and to justify those decisions in light of detailed environmental studies and public comments on the potential environmental impacts.

Strategic environmental assessment (SEA) is a systematic decision support process, aiming to ensure that environmental and possibly other sustainability aspects are considered effectively in policy, plan and programme making. In this context, following Fischer (2007)[1] SEA may be seen as:

  • a structured, rigorous, participative, open and transparent environmental impact assessment (EIA) based process, applied particularly to plans and programmes, prepared by public planning authorities and at times private bodies,
  • a participative, open and transparent,possibly non-EIA-based process, applied in a more flexible manner to policies, prepared by public planning authorities and at times private bodies, or
  • a flexible non-EIA based process,applied to legislative proposals and other policies, plans and programmes in political/cabinet decision-making.

Effective SEA works within a structured and tiered decision framework,aiming to support more effective and efficient decision-making for sustainable development and improved governance by providing for a substantive focus regarding questions, issues and alternatives to be considered in policy, plan and programme(PPP) making.

SEA is an evidence-based instrument, aiming to add scientific rigour to PPP making, by using suitable assessment methods and techniques.

Directive 2008/1/EC of the European Parliament and of the Council of 15 January 2008 concerning integrated pollution prevention and control is adirective of the European Union. It replaces the Council Directive 96/61/EC of 24 September 1996 on the same subject matter; both are commonly referred to as IPPC Directive.

From 2005-2007, the effect of the directive was assessed. In 2010, a revised wording was published, integrated with 6 other European directives regulating large industrial sites, into the Industrial Emissions Directive, short IED.

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